Note: The job is a remote job and is open to candidates in USA. Netflix is a company dedicated to entertaining the world through innovative storytelling and technology. They are seeking a Senior Distributed Systems Engineer to design, build, and operate the next generation of experimentation and feature flag infrastructure, ensuring high availability and performance for their core systems.

Responsibilities

• Build and evolve critical experimentation and feature flag services
• Design and implement high-scale, low-latency services for experiment allocation and feature flag evaluation
• Advance core distributed systems for decentralized allocation, rules evaluation, and real-time decisioning
• Own reliability and performance
• Participate in on-call, lead incident response, and drive long-term reliability improvements
• Instrument services with rich observability (metrics, logs, traces) and continuously tune for resilience, performance, and scalability
• Shape data and integration surfaces
• Collaborate with teams using technologies like Flink, Spark, Elasticsearch, and Druid to ensure experimentation data is correct, timely, and usable
• Define clear data and API contracts for consumers and pipelines
• Partner with product engineering teams
• Deeply understand experimentation and rollout workflows across Netflix
• Simplify and improve the developer experience for configuring, launching, and monitoring experiments and feature flags

Skills

• Build and evolve critical experimentation and feature flag services
• Design and implement high-scale, low-latency services for experiment allocation and feature flag evaluation
• Advance core distributed systems for decentralized allocation, rules evaluation, and real-time decisioning
• Own reliability and performance
• Participate in on-call, lead incident response, and drive long-term reliability improvements
• Instrument services with rich observability (metrics, logs, traces) and continuously tune for resilience, performance, and scalability
• Shape data and integration surfaces
• Collaborate with teams using technologies like Flink, Spark, Elasticsearch, and Druid to ensure experimentation data is correct, timely, and usable
• Define clear data and API contracts for consumers and pipelines
• Partner with product engineering teams
• Deeply understand experimentation and rollout workflows across Netflix
• Simplify and improve the developer experience for configuring, launching, and monitoring experiments and feature flags
• You've built and operated scalable, reliable backend services and understand how to apply core algorithms, and systems design to real-world distributed systems
• You write high-quality code in Java or another JVM language and have owned production services end-to-end: monitoring, on-call, debugging, and systematic performance and reliability improvements
• You work effectively with other senior engineers and cross-functional partners, bring clarity to ambiguity, drive decisions, and keep a sharp focus on delivering value to internal users and stakeholders

Benefits

• Health Plans
• Mental Health support
• A 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
• Full-time salaried employees are immediately entitled to flexible time off

Company Overview

Company H1B Sponsorship